Title
A fast and robust fingertips tracking algorithm for vision-based multi-touch interaction
Abstract
Finger touch is the most natural way for human interaction with the external world. In the past five years, the great success of multi-touch trackpad on portable devices implies the big potential of multi-touch technology to be applied in vision-based human-computer interaction (HCI) systems. The implementation of multi-touch technology highly depends on accurate and fast fingertip tracking. In this paper we present a fast and robust algorithm for tracking fingertip positions in a stereovision-based 3D multi-touch interaction system. Our method first detects the hand region by a two-step strategy based on skin color filter as well as depth images. Then a geometry model is built to locate the fingertips. The accuracy and effectiveness of the fingertip tracking algorithm is examined over several video sequences with complicated backgrounds. Experimental results verify that our algorithm can reliably and accurately track the movements of fingertips in real time. The effectiveness of the fingertip tracking algorithm also reveals the capability allowing user to interact with computers through their finger movements in 3D space over a virtual thin-film-like touch surface which is set up at a certain distance away from the screen.
Year
DOI
Venue
2013
10.1109/ICCA.2013.6564916
ICCA
Keywords
Field
DocType
multitouch technology,video signal processing,virtual thin-film-like touch surface,video sequences,multitouch trackpad,human computer interaction,fast fingertip position tracking algorithm,vision-based human-computer interaction system,portable devices,skin color filter,robust fingertip position tracking algorithm,3d space,finger touch,object tracking,image sequences,depth images,object detection,stereovision-based 3d multitouch interaction system,geometry model,hci systems,hand region detection,stereo image processing,two-step strategy,skin,image colour analysis,algorithm design and analysis,image segmentation,geometry,tracking
Object detection,Computer vision,Computer science,Finger tracking,Algorithm,Human interaction,Vision based,Video tracking,Color gel,Artificial intelligence,Multi-touch,Touchpad
Conference
Volume
Issue
ISSN
null
null
1948-3449
ISBN
Citations 
PageRank 
978-1-4673-4707-5
2
0.43
References 
Authors
12
4
Name
Order
Citations
PageRank
Qunqun Xie151.23
Guoyuan Liang211616.07
Cheng Tang351.91
Xinyu Wu49825.59